September 01 to 03 2015, Santa Clara, USA.

3rd Annual Global Big Data Conference

  • Keynote 
  • IVUC -- Industry Vertical Use Cases
  • HS -- Hadoop, Spark, Security & Beyond
  • DSPA -- Data Science & Predictive Analytics
  • IoT-- IoT
  • Workshop

Day -1 ( Sep 1 8:00AM- 8:00PM )

Industry Vertical Use Cases Track - Great America Meeting Room 1

8:00 AM - 9:00 AM Registration
9:00 AM - 9:40AM Keynote : Using Big Data to Track Millions of HDDs and Predictively Create Better Customer Service (Steve Phillpott, CIO,  HGST, a Western Digital Company
9:40 AM - 10:20AM Personalized Card linked offers: Unlocking the value behind transactions with data science (Kaushal Kurapati, Vice President of Products, MasterCard)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Big Data in Travel - Real-time Analytics with Kafka, Spark, and Druid (Jin Yu,  VP Engineering, Mafengwo)
11:20 AM - 12:00PM 8 Data Science Learnings from Intuit’s Approach to Detecting Payments Fraud and Risk (Josh Frank, Manager, Intuit)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Detecting & Mitigating Fraud at Airbnb scale (Anish Muppalaneni, Software Engineer, Airbnb)
1:40PM - 2:20PM How big data will bring weather forecasting into the 21st century — reliable, predictable, meaningful (Chris wake, Director, Spire Global)
2:20PM - 3:00PM Optimized Platform for Industrial Internet (Deep Kakkar, Sr. Program Manager, GE)
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM Applications of IoT in Retail (Kiran Gange, CEO, CustoLogix)
4:10PM - 5:10PM Keynote Panel : A Venture Capitalist view of Big Data and IoT market
Sanjit Dang (Investment Director, Intel Capital) - Moderator
Venktesh Shukla (Venture Capitalist, Monta Vista Capital & TiE President)
Kent Langley (CEO, Ekho)
Benson Yeung (Venture Partner, Diamond TechVentures)
5:30PM - 7:30PM PM Reception

Data Science & Predictive Analytics Track -  Great America Meeting Room 2

8:00 AM - 9:00 AM Registration
9:00 AM - 9:40AM Adaptive interfaces for Ambient Intelligence (AmI) powered by big data from facial emotion recognition (Jr Alaoui, CEO, Eyeris)
9:40 AM - 10:20AM Data analytics and digital strategy - the future of learning ( James Rabeau, Director, Macquarie University)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Keynote: Machine Learning at the Limit (John Canny, Professor, UC Berkeley & Yahoo Labs)
11:20 AM - 12:00PM Deep Learning Algorithms: Theory and Practice (Alok Aggarwal, CEO, Scry Analytics)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Sentiment Analysis (Ahmet Bugdayci, Data Scientist, Salesforce)
1:40PM - 2:20PM Applying Predictive Analytics in the Healthcare Industry to boost efficiencies and cost-savings (Paul Bradley, Chief Data Scientist, ZirMed)
2:20PM - 3:00PM Keynote : Big Data and Data Science in the Browser (Yves Hilpisch, CEO, The Python Quants GmbH)
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM Metadata Driven Architecture (Don Deloach, CEO, Infobright)
4:10PM - 4:50PM Deconstructing Recommendations on Spark (Ilya ganelin, Data Engineer, Capital One)
4:50PM - 5:30PM Use Case: Integration of traditional enterprise data warehouse with Cassandra (Sunil Sabat, Principal TAM (Big Data), Informatica)
5:30PM - 6:15PM A developer’s guide to graph visualization (Corey Lanum, Manager, Cambridge Intelligence)
6:15PM - 7:30PM PM Reception

Workshop - Great America Meeting Room 3

8:00 AM - 8:15 AM Registration
8:15 AM - 12:00PM Hadoop & Hive Workshop
12:00 PM - 1:00PM Lunch Break
1:00PM - 5:30PM Pig Workshop
5:30PM - 8:00PM MongoDB Workshop

Day -2 ( Sep 2 8:30AM- 8:00PM )

Industry Vertical Use Cases Track -  Great America Meeting Room 1

8:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM Keynote : Applied Data Science in Ecommerce: Case studies from PayPal and Hotwire (Veronika Belokhvostova, VP, Hotwire)
9:40 AM - 10:20AM Streamlining and automating data ingestion into Hadoop (Sastry Malladi, Chief Architect, StubHub)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Should "Data" be in a lake or a reservoir? (Ramkumar Ravichandran, Director, Visa & Bharathiraja Chandrasekaran, Big Data Architect, Visa)
 
11:20 AM - 12:00PM Connecting the Dining Dots: Enabling a Personalized Dining Experience at OpenTable (Sudeep Das, Data Scientist, OpenTable)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Data Mining Mortgage Documents for better Lending and Banking (Ike Kavas, CTO, Ephesoft)
1:40PM - 2:20PM Keynote: Machine Learning Applications for Payment Transaction Data (Eric Haller, EVP, Experian North America)
2:20PM - 3:00PM Healthcare: Big data approach to risk assessment (Badri Prasad, Director, PwC)
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM Keynote: Advanced Experimentation in Social Networks (Mario Vinasco, Data Scientist, Facebook)
4:10PM - 4:50PM Semantic Technology for Interoperability of the Internet of Things (Steve Ray, Senior Researcher, Carnegie Mellon University)

Data Science & Predictive Analytics Track - Great America Meeting Room 2

8:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM How Data Science builds Better Products (Sean Mcclure, Principal Data Scientist, ThoughtWorks)
9:40 AM - 10:20AM Data (Art &) Science: How to combine data science with people work-flows (Eric Colson, Chief Data Scientist, Stitch Fix)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Keynote: Why your Big Data efforts fail and what to do about it (Sheridan Hitchens, VP of Data, Auction.com)
11:20 AM - 12:00PM The tasks of data science in big data (Nachum Shacham, Data Scientist, Paypal)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM Combining techniques of Calculus, Statistics and Data Normalization in CALSTATDN model (Shyam Sarkar, CEO, AyushNet)
1:40PM - 2:20PM Predictive marketing software (Maria Grineva, Chief Scientist, Orb Intelligence)
2:20PM - 3:00PM Keynote: Data Science and Data Products for Software Developers (Sri Satish, CEO, 0xdata)
3:00PM -3:30PM Ice Cream Break
3:30PM - 4:10PM Advances in Machine Learning on Text Data (Nick Pendar, Data Scientist, Skytree)
4:10PM - 4:50PM From Rocket Science to Data Science (Sanghamitra Deb, Data Scientist, Accenture Tech Laboratory)
4:50PM - 5:30PM Data Repurposing Existing Deep Learning Models: Image Similarity for fun (& profit?) (Rajat Arya, Product Management, Dato)

Workshop 1 - Meeting Room 206

8:30 AM - 8:45 AM Registration
8:45 AM - 12:00PM NiFi Workshop
12:00 PM - 1:00PM Lunch Break
1:00PM - 8:00PM Cassandra & HBase Workshop

BOOTCAMP - Great America Meeting Room 3

8:45 AM - 9:00 AM Registration
9:00 AM - 12:00PM IoT Bootcamp
12:00 PM - 1:00PM Lunch Break
1:00PM - 6:00PM IoT Bootcamp 

Day - 3 ( Sep 3 8:00AM- 6:00PM )

Big Data Track - Great America Meeting Room 1

8:30 AM - 9:00 AM Registration
9:00 AM - 9:40AM Keynote : EHRs as the Linchpin for Big Data in Healthcare (Terhilda Garrido, VP HIT Transformation & Analytics, Kaiser)
9:40 AM - 10:20AM Big Data Challenges and Opportunities in the Oil and Gas Industry (Lapi Dixit, Director, Halliburton)
10:20AM -10:40AM Morning Break
10:40 AM - 11:20AM Keynote: Learn how Wells Fargo leverages data big and small to enhance competitive advantages (Heather Mcglinn Hansma, SVP,  Wells Fargo)
 
11:20 AM - 12:00PM Big Data in Healthcare and Computational Advertising (Ram Akella, Professor and Director, UC Berkeley & Santa Cruz)
12:00 PM - 1:00PM Lunch Break
1:00PM - 1:40PM How to better secure data in Hadoop, SQL and Big Data Environments (Eric Tilenius, CEO, BlueTalon)
1:40PM - 2:20PM BI on Hadoop (Dave Mariani, CEO, AtScale)
2:20PM - 3:00PM Hadoop, Spark and MongoDB: Bringing Three Powerful Technologies Together (Bryan Reinero, Chief Evangelist, MongoDB)
3:00PM -3:30PM Break
3:30PM - 4:10PM Managing user expectations & privacy in the age of context awareness (Veerabhadra Manoj Duggirala, CEO, Context360)
4:10PM - 4:50PM Keynote : Securing IoT Networks and Ecosystems Through Managed PKI Certificates (Scott Amyx, CEO, Amyx McKinsey)

Workshop 1 -  Great America Meeting Room 2

8:45 AM - 9:00 AM Registration
9:00 AM - 12:00PM Data Science with R & Predictive Analytics Workshop
12:00 PM - 1:00PM Lunch Break
1:00PM - 5:00PM Data Science with Python & Predictive Analytics Workshop

Workshop 2 -  Great America Meeting Room 3

8:45 AM - 9:00 AM Registration
9:00 AM - 9:30PM Introduction of Spark (Mohammed Guller, Principal Architect, Glassbeam)
9:30 AM - 12:00PM Spark Core & Scala
12:00 PM - 1:00PM Lunch Break
1:00PM - 6:00PM Spark SQL & Spark Streaming

NOTE: Agenda and speakers subject to change without notice

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